28 citations · 40 across the 5 of their papers we have counts for
5 papers
Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things
Tinghao Zhang, Kwok-Yan Lam, Jun Zhao
Federated Learning (FL) is a promising machine learning approach for Internet of Things (IoT), but it has to address network congestion problems when the population of IoT devices…
User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks
Tinghao Zhang, Kwok-Yan Lam, Jun Zhao
The large population of wireless users is a key driver of data-crowdsourced Machine Learning (ML). However, data privacy remains a significant concern. Federated Learning (FL) enco…
Enhancing Federated Learning with spectrum allocation optimization and device selection
Tinghao Zhang, Kwok-Yan Lam, Jun Zhao +3
Machine learning (ML) is a widely accepted means for supporting customized services for mobile devices and applications. Federated Learning (FL), which is a promising approach to i…
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning
Tinghao Zhang, Zhijun Li, Yongrui Chen +2
Deep Neural Networks (DNNs) have been widely applied in Internet of Things (IoT) systems for various tasks such as image classification and object detection. However, heavyweight D…
A Comprehensive Survey of 6G Wireless Communications
Yang Zhao, Wenchao Zhai, Jun Zhao +4
While fifth-generation (5G) communications are being rolled out worldwide, sixth-generation (6G) communications have attracted much attention from both the industry and the academi…